YOLOv8的课堂教学行为目标检测技术应用研究

Research on the Application of Classroom Teaching Behavior Object Detection Technology Based on YOLOv8

随着教育技术的不断发展,提升课堂教学质量成为教育领域的重要目标之一,而监测教师和学生在课堂中的行为则是评估教学质量的重要手段。传统的课堂监测方法往往依赖于人工观察和记录,费时费力且容易出现主观误差。文中提出了一种基于YOLOv8课堂教学行为目标检测技术的自动化课堂教学行为监测系统,以便实时准确地检测课堂中的教师和学生行为,为教学质量评估提供有效的技术支持。通过分析关键点的位置和变化趋势,系统能有效评估师生的疲劳程度,并及时采取相应的措施,提高课堂质量和教学效果。

With the continuous development of educational technology,improving the quality of classroom teaching has become one of the important goals in the field of education,and monitoring the behavior of teachers and students in the classroom is an important means to evaluate the quality of teaching.Traditional classroom monitoring methods often rely on manual observation and recording,which is time-consuming,laborious and prone to subjective errors.This paper proposes an automated classroom teaching behavior monitoring system based on YOLOv8 classroom teaching behavior object detection technology,in order to accurately detect the behavior of teachers and students in the classroom in real time and provide effective technical support for teaching quality evaluation.By analyzing the location and changing trend of key points,the system can effectively evaluate the fatigue degree of teachers and students,and take corresponding measures in time to improve classroom quality and teaching effect.